Comparative study on the infection status of severe fever with thrombocytopenia syndrome between non-endemic areas and endemic areas in Anhui province
10.3760/cma.j.cn112866-20250214-00035
- VernacularTitle:安徽省非流行地区和流行地区发热伴血小板减少综合征感染状况比较研究
- Author:
Na CHU
1
;
Zhongxing ZHANG
;
Xiaomin WU
;
Xianwen HUANG
;
Qinghe ZHANG
;
Weilin GAO
;
Xiuzhi CHEN
;
Ming LI
;
Jiabing WU
;
Yinguang FAN
;
Lei GONG
Author Information
1. 安徽省疾病预防控制中心传染病预防控制所，合肥 230601
- Publication Type:Journal Article
- Keywords:
Severe fever with thrombocytopenia syndrome;
Endemic areas;
Non-endemic areas;
Infection status
- From:
Chinese Journal of Experimental and Clinical Virology
2025;39(3):312-318
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To compare the infection status of severe fever with thrombocytopenia syndrome (SFTS) between the non-endemic area (Yixian county, Huangshan city) and the endemic area (Qianshan city, Anqing city) in Anhui province, and to explore the possibility of Yixian county being a natural focus of SFTS, thereby providing a scientific basis for the formulation of prevention and control strategies.Methods:In Xidi town, Yixian county, and Shuihou town, Qianshan city, one administrative village with the highest number of reported cases in the past three years was selected as the study village in each area, along with one control village with no reported cases. The study investigated the total antibody positivity rates of SFTS virus (SFTSV) in natural populations and host animals, as well as the density and virus-carrying rate of the vector ticks. Differences in total antibody positivity rates between the two regions were compared.Results:The total SFTSV antibody positivity rates in the natural population and host animals in the surveyed villages (control villages) of Qianshan city and Yi county were 8.7% and 8.0% (3.3%, 4.1%) and 0.0%, 9.1% (50.0%, 66.7%), respectively. There was no statistically significant difference in the infection rates of the natural population and host animals between the surveyed villages (control villages) in different endemic regions (all P>0.05). In the surveyed villages of Qianshan city and Yi county, the free-living tick densities were 1.4 ticks/hour per flag and 1.7 ticks/hour per flag, respectively; the parasitic tick densities were 0.4 ticks/host and 2.5 ticks/host, respectively; the tick infestation rates were 33.3% and 35.3%, respectively; and the tick density indices were 1.3 ticks/host and 7.2 ticks/host, respectively. Conclusions:The natural populations and host animals in some areas of Yixian county exhibit high SFTSV infection rates, and the tick density is also high, suggesting that the region may have become a natural focus of SFTS. Therefore, it is necessary to further strengthen capabilities in surveillance, diagnosis, and clinical treatment to address the potential risk of SFTS outbreaks.
